Overview
Is a must-read resource for researchers and students with a basic mastery of ordinary least squares and logistic regression
Discusses multilevel analysis in the context of public health and health services research and epidemiology
Includes an online component where users can download the datasets analysed in the book and also a freeware version of the multilevel modelling software MLwiN
Can be used as part of a course on multilevel modelling or as a self-training text
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Table of contents (13 chapters)
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Front Matter
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Theoretical, Conceptual and Methodological Background
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Front Matter
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Statistical Background
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Front Matter
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The Modelling Process and Presentation of Research
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Front Matter
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Tutorials with Example Datasets
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Front Matter
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Back Matter
Keywords
About this book
This open access book is a practical introduction to multilevel modelling or multilevel analysis (MLA) – a statistical technique being increasingly used in public health and health services research. The authors begin with a compelling argument for the importance of researchers in these fields having an understanding of MLA to be able to judge not only the growing body of research that uses it, but also to recognise the limitations of research that did not use it. The volume also guides the analysis of real-life data sets by introducing and discussing the use of the multilevel modelling software MLwiN, the statistical package that is used with the example data sets. Importantly, the book also makes the training material accessible for download – not only the datasets analysed within the book, but also a freeware version of MLwiN to allow readers to work with these datasets.
The book’s practical review of MLA comprises:
- Theoretical, conceptual, and methodological background
- Statistical background
- The modelling process and presentation of research
- Tutorials with example datasets
Multilevel Modelling for Public Health and Health Services Research: Health in Context is a practical and timely resource for public health and health services researchers, statisticians interested in the relationships between contexts and behaviour, graduate students across these disciplines, and anyone interested in utilising multilevel modelling or multilevel analysis.
“Leyland and Groenewegen’s wealth of teaching experience makes this book and its accompanying tutorials especially useful for a practical introduction to multilevel analysis.”
̶ Juan Merlo, Professor of Social Epidemiology, Lund University
“Comprehensive and insightful. A must for anyone interested in the applications of multilevel modelling to population health”.
̶ S. (Subu) V. Subramanian, Professor of Population Health and Geography, Harvard University
Authors and Affiliations
About the authors
Peter Groenewegen, PhD, is a senior researcher and former director at NIVEL, the Netherlands Institute for Health Services Research, in Utrecht. He is emeritus professor at Utrecht University in the Departments of Sociology and of Human Geography. Peter was trained as a sociologist and wrote his PhD on the spatial distribution of general practitioners in the Netherlands. His research interests are in the area of international comparisons of health systems with a focus on primary health care, medical practice variations, and environment and health.
Bibliographic Information
Book Title: Multilevel Modelling for Public Health and Health Services Research
Book Subtitle: Health in Context
Authors: Alastair H. Leyland, Peter P. Groenewegen
DOI: https://doi.org/10.1007/978-3-030-34801-4
Publisher: Springer Cham
eBook Packages: Medicine, Medicine (R0)
Copyright Information: The Author(s) 2020
License: CC BY
Hardcover ISBN: 978-3-030-34799-4Published: 29 February 2020
eBook ISBN: 978-3-030-34801-4Published: 28 February 2020
Edition Number: 1
Number of Pages: XVII, 286
Number of Illustrations: 35 b/w illustrations, 110 illustrations in colour
Topics: Public Health, Health Services Research, Research Methodology, Epidemiology, Statistics for Life Sciences, Medicine, Health Sciences